code: def load_data(self):
      X_train = np.random.uniform(
          -1, 1, (self.batch_size, 3 * 224 * 224)
      )
      y_train = np.random.randint(0, 999, (self.batch_size, 1000))
  
      return X_train, y_train, 10
  
imports: from __future__ import division
  from future import standard_library
  from builtins import str
  import gzip
  import logging
  import numpy
  import os
  import tarfile
  from neon.util.compat import pickle
  from neon.util.compat import pickle_load
  from neon.data.datasets import Dataset
  from neon.data.dataiterator import ArrayIterator
label_desc: Use image node_id 2 for calling the DUMMY obj's underlying member method code with example usage: obj.load_data() and returns: X_train,  y_train,  int